Product Data Manager

MUST BE LOCAL TO TX

• Key Responsibilitie
• sProduct Leadership & Strateg
• yDefine and drive the Client 360 product vision, strategy, and multi-year roadma
• pEstablish a scalable, enterprise-grade client data foundatio
• nIdentify and prioritize high-value use cases (reporting, analytics, automation, AI/ML
• )Evangelize the Client 360 vision across business and leadership stakeholder

• s
• Data Product Ownersh
• ipOwn end-to-end delivery of the Client 360 data product lifecycl
• e:Unified client profil
• esCross-domain data models (sales, finance, engagement et
• c)Client hierarchies, relationships, and segmentati
• onTranslate complex business needs into clear, actionable product and data requiremen
• tsDefine KPIs, success metrics, and product SL

• As
• Cross-Functional Leaders
• hipPartner with senior stakeholders acro
• ss:Sales, Account Management, Marketing, Finance, Operati
• onsData Engineering, Architecture, Governance, and Analytics te
• amsAct as a strategic bridge between business and technical organizati
• onsInfluence decision-making at the leadership le

• vel
• Data Architecture & Engineering Collabora
• tionCollaborate with engineering teams to des
• ign:Scalable data pipelines (ETL/
• ELT)Modern data architectures (lakehouse, wareho
• use)Real-time and batch processing capabili
• tiesEnsure alignment with enterprise data platforms (e.g., Azure, Snowflake, Databri

• cks)
• Data Governance & Qu
• alityDrive data governance frameworks for client
• data:Standard definitions, taxonomies, and met
• adataData lineage, stewardship, and owne
• rshipEnsure data quality, consistency, and compliance with privacy regula
• tionsManage master data and identity resolution strat

• egies
• Analytics & Insight Enab
• lementEnable advanced capabilities su
• ch as:Client performance dashboards and executive rep
• ortingRevenue and profitability in
• sightsSegmentation, trend analysis, and forec
• astingPartner with teams on AI/ML-driven use cases (e.g., client growth, churn, opportunity identific

• ation)
• Execution & D
• eliveryLead Agile delivery (backlog prioritization, sprint planning, re
• leases)Manage trade-offs across scope, timeline, and
• qualityTrack adoption, usage, and business impact; iterate conti

• nuously
• Required Qualif
• icationsBachelor’s or Master’s degree in Computer Science, Data, Engineering, Business, or relat
• ed field8+ years of experi
• ence in:Data Product Management / Product Management / Data & A
• nalyticsProven experience delivering enterprise-scale data platforms or Client/Customer 360 s
• olutionsStrong understan
• ding of:Data modeling, data warehousing, and distributed data
• systemsETL/ELT pipelines and integration
• patternsHands-on experien
• ce with:SQL and BI tools (Power BI, Tableau, Looke

• r, etc.)
• Preferred Quali
• ficationsExperience with Client 360 / Customer 360 / MDM (Master Data Management) in
• itiativesFamiliarity with CRM systems (Salesforce, Dynamics 3
• 65, etc.)Experience with modern data p
• latforms:Azure Data Platform, Snowflake, Databricks, Microso
• ft FabricKnowledge of data governance, privacy, and compliance f
• rameworksAgile/Scrum certification or strong Agile delivery e

• xperience
• Key Co
• mpetenciesStrategic thinking with strong execu
• tion focusDeep data and analytics
• expertiseExceptional stakeholder management and executive com
• municationAbility to influence without
• authorityStrong problem-solving and decision-mak
• ing skillsCustomer/client-centr

ic mindset